This interface is designed as part of MIDRC's ML research to help clinicians, researchers, and early AI developers with a modular, flexible, and user-friendly software tool that can effectively meet their needs to explore, train, and test AI algorithms as well as interpret their model results.The major highlight of MAI-CARE is its capability of visualization and interpretability which can help physicians, pathologists, radiologists interpret/visualize results of otherwise Blackbox AI algorithms. The significance of this API is unexperienced users may have more time to swiftly pre-process, build/train their AI models on their own use-cases, and further visualize and explore these AI models as part of this pipeline, all in an end-to-end manner.
MAI-CARE is developed as part of MIDRC consortium. The Medical Imaging and Data Resource Center (MIDRC;midrc.org) is funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health under contract 75N92020D00021.